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It is assumed that half of each individual station's usage is associated with calls that the station
generates, and the other half is associated with calls that the station receives. Therefore, half of
the 97 Erlangs of station usage (that is, 49 Erlangs) in the Atlanta site corresponds to intercom
calls originated in the Atlanta site. Similarly, half of the 36 Erlangs of station usage (that is, 18
Erlangs) in the Boston site corresponds to intercom calls originated in Boston, and half of the 18
Erlangs of station usage (that is, 9 Erlangs) in the Cleveland site corresponds to intercom calls
originated in Cleveland.
Using the percentages from earlier, the Uniform Distribution model implies that 65% of the
intercom traffic originated by each station in Atlanta is terminated in Atlanta, 24% is terminated
in Boston, and 11% is terminated in Cleveland. Applying those percentages to the 49 Erlangs of
intercom traffic that is generated in Atlanta implies that 32 Erlangs of intercom call usage is
generated in Atlanta for termination in Atlanta, 12 Erlangs of intercom call usage is generated in
Atlanta for termination in Boston, and 5 Erlangs of intercom call usage is generated in Atlanta
for termination in Cleveland. Analogous calculations can be made in relation to intercom traffic
that is generated in Boston and in Cleveland. The results are tabulated in the intercom COI
matrix that is associated with this example
Distribution model in Example 2: Uniform Distribution
Table 24: Intercom COI matrix for the Uniform Distribution model in
Distribution model
Intercom CUR
From stations in Site
____
(Table 24: Intercom COI matrix for the Uniform
model):
To stations in Site __
(all data in Erlangs)
1
32
1
12
2
6
3
Call usage rates
Example 2: Uniform
2
3
12
5
4
2
2
1
Issue 3.4.1 June 2005
153
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